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Study on Variations in Climatic Variables and Their Influence on Runoff in the Manas River Basin, China

机译:中国玛纳斯河流域气候变量变化及其对径流的影响研究

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Climate change in Northwest China could lead to the change of the hydrological cycle and water resources. This paper assessed the influence of climate change on runoff in the Manas River basin as follows. First, the temporal trends and abrupt change points of runoff, precipitation, and mean, lowest and highest temperature in yearly scale during the period of 1961–2015 were analyzed using the Mann-Kendall (MK) test. Then the correlation between runoff and climatic variables was characterized in a monthly, seasonal and yearly scale using the partial correlation method. Furthermore, three global climate models (GCMs) from Coupled Model Inter-comparison Project Phase 5 (CMIP5) were bias-corrected using Equidistant Cumulative Distribution Functions (EDCDF) method to reveal the future climate change during the period from 2021 to 2060 compared with the baseline period of 1961–2000. The influence of climate change on runoff was studied by simulating the runoff with the GCMs using a modified TOPMODEL considering the future snowmelt during the period from 2021 to 2060. The results showed that the runoff, precipitation, and mean, lowest and highest temperature all presented an increasing trend in yearly scale during the period of 1961–2015, and their abrupt change points were at a similar time; the runoff series was more strongly related to temperature than to precipitation in the spring, autumn and yearly scales, and the opposite was true in winter. All GCMs projected precipitation and temperature, and the runoff simulated with these GCMs were predicted to increase in the period from 2021 to 2060 compared with the baseline period of 1961–2000. These findings provide valuable information for assessing the influence of climate change on water resources in the Manas River basin, and references for water management in such regions.
机译:西北地区的气候变化可能导致水文循环和水资源的变化。本文评估了气候变化对玛纳斯河流域径流的影响,如下所述。首先,使用Mann-Kendall(MK)检验分析了1961-2015年期间径流,降水以及年平均,最低和最高温度的时间趋势和突变点。然后使用偏相关法对径流与气候变量之间的相关性进行了月度,季节和年度尺度的表征。此外,使用等距累积分布函数(EDCDF)方法对耦合模型间比较项目第5阶段(CMIP5)的三个全球气候模型(GCM)进行了偏差校正,以揭示2021年至2060年期间的未来气候变化。 1961-2000年基线期。考虑到未来2021年至2060年的融雪情况,使用改进的TOPMODEL模型通过GCMs模拟径流,研究了气候变化对径流的影响。结果表明,径流,降水以及平均,最低和最高温度均呈现1961-2015年期间,年度规模呈上升趋势,其突变点在同一时间;径流序列与温度的关系比与春季,秋季和年尺度的降水的关系更密切,而在冬季则相反。所有GCM都预测了降水和温度,并且与1961-2000年的基准期相比,这些GCM模拟的径流量预计在2021年至2060年期间会增加。这些发现为评估气候变化对玛纳斯河流域水资源的影响提供了有价值的信息,并为此类地区的水资源管理提供了参考。

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